SEAI Data With Nulls & Cleaned Report v2

Dataset statistics

Number of variables	15
Number of observations	1005348
Missing cells	1118932
Missing cells (%)	7.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	373.4 MiB
Average record size in memory	389.4 B

Variable types

Categorical	9
Numeric	6

Alerts

`YearofConstruction` is highly correlated with `BerRating` and 1 other fields	High correlation
`BerRating` is highly correlated with `YearofConstruction` and 1 other fields	High correlation
`GroundFloorArea(sq m)` is highly correlated with `TotalDeliveredEnergy`	High correlation
`CO2Rating` is highly correlated with `YearofConstruction` and 2 other fields	High correlation
`TotalDeliveredEnergy` is highly correlated with `GroundFloorArea(sq m)` and 1 other fields	High correlation
`YearofConstruction` is highly correlated with `BerRating`	High correlation
`BerRating` is highly correlated with `YearofConstruction` and 2 other fields	High correlation
`CO2Rating` is highly correlated with `BerRating` and 1 other fields	High correlation
`TotalDeliveredEnergy` is highly correlated with `BerRating` and 1 other fields	High correlation
`YearofConstruction` is highly correlated with `BerRating`	High correlation
`BerRating` is highly correlated with `YearofConstruction` and 1 other fields	High correlation
`CO2Rating` is highly correlated with `BerRating`	High correlation
`MainSpaceHeatingFuel` is highly correlated with `MainWaterHeatingFuel`	High correlation
`MainWaterHeatingFuel` is highly correlated with `MainSpaceHeatingFuel`	High correlation
`YearofConstruction` is highly correlated with `EnergyRating`	High correlation
`EnergyRating` is highly correlated with `YearofConstruction` and 2 other fields	High correlation
`BerRating` is highly correlated with `CO2Rating` and 1 other fields	High correlation
`CO2Rating` is highly correlated with `BerRating` and 1 other fields	High correlation
`MainSpaceHeatingFuel` is highly correlated with `MainWaterHeatingFuel`	High correlation
`MainWaterHeatingFuel` is highly correlated with `MainSpaceHeatingFuel`	High correlation
`VentilationMethod` is highly correlated with `EnergyRating`	High correlation
`InsulationType` is highly correlated with `EnergyRating`	High correlation
`TotalDeliveredEnergy` is highly correlated with `BerRating` and 1 other fields	High correlation
`MainSpaceHeatingFuel` has 14110 (1.4%) missing values	Missing
`MainWaterHeatingFuel` has 14110 (1.4%) missing values	Missing
`StructureType` has 72276 (7.2%) missing values	Missing
`InsulationType` has 221093 (22.0%) missing values	Missing
`InsulationThickness` has 221093 (22.0%) missing values	Missing
`TotalDeliveredEnergy` has 570448 (56.7%) missing values	Missing
`BerRating` is highly skewed (γ1 = 52.94408732)	Skewed
`CO2Rating` is highly skewed (γ1 = 69.10763716)	Skewed
`TotalDeliveredEnergy` is highly skewed (γ1 = 87.3140669)	Skewed
`InsulationThickness` has 122900 (12.2%) zeros	Zeros

Reproduction

Analysis started	2022-07-21 20:52:21.787527
Analysis finished	2022-07-21 20:53:03.498411
Duration	41.71 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

CountyName
Categorical

Distinct	26
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	984.6 KiB

Dublin	298379
Cork	113668
Galway	54664
Kildare	44498
Limerick	43389
Other values (21)	450750

Length

Max length	9
Median length	8
Mean length	6.118182958
Min length	4

Characters and Unicode

Total characters	6150903
Distinct characters	34
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Donegal
2nd row	Kildare
3rd row	Dublin
4th row	Dublin
5th row	Dublin

Common Values

Value	Count	Frequency (%)
Dublin	298379	29.7%
Cork	113668	11.3%
Galway	54664	5.4%
Kildare	44498	4.4%
Limerick	43389	4.3%
Meath	38687	3.8%
Wexford	33527	3.3%
Tipperary	32036	3.2%
Kerry	31871	3.2%
Donegal	31259	3.1%
Other values (16)	283370	28.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
dublin	298379	29.7%
cork	113668	11.3%
galway	54664	5.4%
kildare	44498	4.4%
limerick	43389	4.3%
meath	38687	3.8%
wexford	33527	3.3%
tipperary	32036	3.2%
kerry	31871	3.2%
donegal	31259	3.1%
Other values (16)	283370	28.2%

Most occurring characters

Value	Count	Frequency (%)
i	554431	9.0%
l	542786	8.8%
r	471170	7.7%
a	444420	7.2%
n	417852	6.8%
o	398954	6.5%
e	367646	6.0%
D	329638	5.4%
u	327232	5.3%
b	298379	4.9%
Other values (24)	1998395	32.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5145555	83.7%
Uppercase Letter	1005348	16.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	554431	10.8%
l	542786	10.5%
r	471170	9.2%
a	444420	8.6%
n	417852	8.1%
o	398954	7.8%
e	367646	7.1%
u	327232	6.4%
b	298379	5.8%
k	203681	4.0%
Other values (13)	1119004	21.7%

Uppercase Letter

Value	Count	Frequency (%)
D	329638	32.8%
C	167180	16.6%
W	108411	10.8%
L	103970	10.3%
K	92868	9.2%
M	75617	7.5%
G	54664	5.4%
T	32036	3.2%
S	15288	1.5%
O	13452	1.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6150903	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	554431	9.0%
l	542786	8.8%
r	471170	7.7%
a	444420	7.2%
n	417852	6.8%
o	398954	6.5%
e	367646	6.0%
D	329638	5.4%
u	327232	5.3%
b	298379	4.9%
Other values (24)	1998395	32.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6150903	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	554431	9.0%
l	542786	8.8%
r	471170	7.7%
a	444420	7.2%
n	417852	6.8%
o	398954	6.5%
e	367646	6.0%
D	329638	5.4%
u	327232	5.3%
b	298379	4.9%
Other values (24)	1998395	32.5%

DwellingTypeDescr
Categorical

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.0 KiB

Detached house	291545
Semi-detached house	272815
Mid-terrace house	140621
End of terrace house	77554
Mid-floor apartment	65189
Other values (6)	157624

Length

Max length	22
Median length	20
Mean length	16.91869084
Min length	5

Characters and Unicode

Total characters	17009172
Distinct characters	29
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Detached house
2nd row	Detached house
3rd row	Semi-detached house
4th row	Semi-detached house
5th row	Semi-detached house

Common Values

Value	Count	Frequency (%)
Detached house	291545	29.0%
Semi-detached house	272815	27.1%
Mid-terrace house	140621	14.0%
End of terrace house	77554	7.7%
Mid-floor apartment	65189	6.5%
Top-floor apartment	56080	5.6%
Ground-floor apartment	54161	5.4%
House	33288	3.3%
Maisonette	10920	1.1%
Apartment	2856	0.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
house	815823	38.5%
detached	291545	13.8%
semi-detached	272815	12.9%
apartment	178286	8.4%
mid-terrace	140621	6.6%
end	77554	3.7%
of	77554	3.7%
terrace	77554	3.7%
mid-floor	65189	3.1%
top-floor	56080	2.6%
Other values (4)	65719	3.1%

Most occurring characters

Value	Count	Frequency (%)
e	2854791	16.8%
o	1365398	8.0%
h	1346895	7.9%
d	1174700	6.9%
t	1161266	6.8%
a	1147490	6.7%
	1113392	6.5%
u	869984	5.1%
r	844227	5.0%
s	827062	4.9%
Other values (19)	4303967	25.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	14301247	84.1%
Space Separator	1113392	6.5%
Uppercase Letter	1005667	5.9%
Dash Punctuation	588866	3.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2854791	20.0%
o	1365398	9.5%
h	1346895	9.4%
d	1174700	8.2%
t	1161266	8.1%
a	1147490	8.0%
u	869984	6.1%
r	844227	5.9%
s	827062	5.8%
c	782535	5.5%
Other values (8)	1926899	13.5%

Uppercase Letter

Value	Count	Frequency (%)
D	291864	29.0%
S	272815	27.1%
M	216730	21.6%
E	77554	7.7%
T	56080	5.6%
G	54161	5.4%
H	33288	3.3%
A	2856	0.3%
B	319	< 0.1%

Space Separator

Value	Count	Frequency (%)
	1113392	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	588866	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15306914	90.0%
Common	1702258	10.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2854791	18.7%
o	1365398	8.9%
h	1346895	8.8%
d	1174700	7.7%
t	1161266	7.6%
a	1147490	7.5%
u	869984	5.7%
r	844227	5.5%
s	827062	5.4%
c	782535	5.1%
Other values (17)	2932566	19.2%

Common

Value	Count	Frequency (%)
	1113392	65.4%
-	588866	34.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17009172	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	2854791	16.8%
o	1365398	8.0%
h	1346895	7.9%
d	1174700	6.9%
t	1161266	6.8%
a	1147490	6.7%
	1113392	6.5%
u	869984	5.1%
r	844227	5.0%
s	827062	4.9%
Other values (19)	4303967	25.3%

YearofConstruction
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	261
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1982.779243

Minimum	1753
Maximum	2022
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.7 MiB

Quantile statistics

Minimum	1753
5-th percentile	1900
Q1	1972
median	1996
Q3	2005
95-th percentile	2018
Maximum	2022
Range	269
Interquartile range (IQR)	33

Descriptive statistics

Standard deviation	33.9271398
Coefficient of variation (CV)	0.01711090124
Kurtosis	3.820401463
Mean	1982.779243
Median Absolute Deviation (MAD)	12
Skewness	-1.793886072
Sum	1993383146
Variance	1151.050815
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2006	49227	4.9%
2004	47123	4.7%
2005	45820	4.6%
2003	38902	3.9%
2007	36824	3.7%
2002	32444	3.2%
1900	30916	3.1%
2000	29095	2.9%
2001	25248	2.5%
1998	24029	2.4%
Other values (251)	645720	64.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1753	14	< 0.1%
1757	1	< 0.1%
1759	3	< 0.1%
1760	223	< 0.1%
1761	8	< 0.1%
1762	1	< 0.1%
1764	1	< 0.1%
1765	5	< 0.1%
1766	1	< 0.1%
1767	2	< 0.1%

Value	Count	Frequency (%)
2022	4870	0.5%
2021	10807	1.1%
2020	14814	1.5%
2019	18371	1.8%
2018	13715	1.4%
2017	10543	1.0%
2016	7770	0.8%
2015	4870	0.5%
2014	3208	0.3%
2013	2179	0.2%

EnergyRating
Categorical

HIGH CORRELATION

Distinct	15
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	983.3 KiB

C2	124530
C3	118185
D1	114352
C1	113782
D2	98187
Other values (10)	436312

Length

Max length	2
Median length	2
Mean length	1.887439971
Min length	1

Characters and Unicode

Total characters	1897534
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	C2
2nd row	B3
3rd row	C3
4th row	C2
5th row	D2

Common Values

Value	Count	Frequency (%)
C2	124530	12.4%
C3	118185	11.8%
D1	114352	11.4%
C1	113782	11.3%
D2	98187	9.8%
B3	77970	7.8%
G	66815	6.6%
E1	56631	5.6%
A3	51194	5.1%
F	46347	4.6%
Other values (5)	137355	13.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
c2	124530	12.4%
c3	118185	11.8%
d1	114352	11.4%
c1	113782	11.3%
d2	98187	9.8%
b3	77970	7.8%
g	66815	6.6%
e1	56631	5.6%
a3	51194	5.1%
f	46347	4.6%
Other values (5)	137355	13.7%

Most occurring characters

Value	Count	Frequency (%)
C	356497	18.8%
2	343553	18.1%
1	301284	15.9%
3	247349	13.0%
D	212539	11.2%
B	126045	6.6%
E	101411	5.3%
A	95694	5.0%
G	66815	3.5%
F	46347	2.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1005348	53.0%
Decimal Number	892186	47.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	356497	35.5%
D	212539	21.1%
B	126045	12.5%
E	101411	10.1%
A	95694	9.5%
G	66815	6.6%
F	46347	4.6%

Decimal Number

Value	Count	Frequency (%)
2	343553	38.5%
1	301284	33.8%
3	247349	27.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1005348	53.0%
Common	892186	47.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
C	356497	35.5%
D	212539	21.1%
B	126045	12.5%
E	101411	10.1%
A	95694	9.5%
G	66815	6.6%
F	46347	4.6%

Common

Value	Count	Frequency (%)
2	343553	38.5%
1	301284	33.8%
3	247349	27.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1897534	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	356497	18.8%
2	343553	18.1%
1	301284	15.9%
3	247349	13.0%
D	212539	11.2%
B	126045	6.6%
E	101411	5.3%
A	95694	5.0%
G	66815	3.5%
F	46347	2.4%

BerRating
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct	77722
Distinct (%)	7.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	238.9152415

Minimum	-158.42
Maximum	56423.71
Zeros	0
Zeros (%)	0.0%
Negative	161
Negative (%)	< 0.1%
Memory size	7.7 MiB

Quantile statistics

Minimum	-158.42
5-th percentile	51.89
Q1	158.08
median	209.93
Q3	285.29
95-th percentile	497.57
Maximum	56423.71
Range	56582.13
Interquartile range (IQR)	127.21

Descriptive statistics

Standard deviation	173.5624388
Coefficient of variation (CV)	0.7264603034
Kurtosis	13616.76436
Mean	238.9152415
Median Absolute Deviation (MAD)	60.88
Skewness	52.94408732
Sum	240192960.2
Variance	30123.92017
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
224.56	102	< 0.1%
224.87	93	< 0.1%
224.85	93	< 0.1%
224.63	89	< 0.1%
224.82	87	< 0.1%
224.95	87	< 0.1%
174.81	87	< 0.1%
224.86	86	< 0.1%
174.92	86	< 0.1%
174.79	86	< 0.1%
Other values (77712)	1004452	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-158.42	1	< 0.1%
-97.37	1	< 0.1%
-63.96	1	< 0.1%
-60.97	1	< 0.1%
-56.06	1	< 0.1%
-49.16	1	< 0.1%
-48.01	1	< 0.1%
-45.32	1	< 0.1%
-44.66	1	< 0.1%
-43.64	1	< 0.1%

Value	Count	Frequency (%)
56423.71	1	< 0.1%
32134.94	1	< 0.1%
31623.33	1	< 0.1%
21725.62	1	< 0.1%
18771.31	1	< 0.1%
13914.78	1	< 0.1%
11823.78	1	< 0.1%
11476.29	1	< 0.1%
9892.94	1	< 0.1%
9183.17	1	< 0.1%

GroundFloorArea(sq m)
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	43114
Distinct (%)	4.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	114.4886734

Minimum	5.47
Maximum	3546.11
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.7 MiB

Quantile statistics

Minimum	5.47
5-th percentile	47.66
Q1	77.9
median	100.3
Q3	134.48
95-th percentile	231.21
Maximum	3546.11
Range	3540.64
Interquartile range (IQR)	56.58

Descriptive statistics

Standard deviation	60.4344775
Coefficient of variation (CV)	0.5278642481
Kurtosis	35.93359276
Mean	114.4886734
Median Absolute Deviation (MAD)	26.34
Skewness	2.823807777
Sum	115100958.8
Variance	3652.326071
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
81	1324	0.1%
80	1139	0.1%
84	964	0.1%
90	960	0.1%
82	952	0.1%
78	783	0.1%
88	774	0.1%
70	747	0.1%
85	734	0.1%
108	694	0.1%
Other values (43104)	996277	99.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5.47	1	< 0.1%
6.7	1	< 0.1%
7.21	1	< 0.1%
7.26	1	< 0.1%
7.47	1	< 0.1%
7.7	1	< 0.1%
7.91	1	< 0.1%
7.96	1	< 0.1%
8.3	1	< 0.1%
8.31	1	< 0.1%

Value	Count	Frequency (%)
3546.11	1	< 0.1%
3229.39	1	< 0.1%
2331.92	1	< 0.1%
2011.25	1	< 0.1%
1825.99	1	< 0.1%
1788.6	1	< 0.1%
1705.02	1	< 0.1%
1625.34	1	< 0.1%
1593	1	< 0.1%
1572.51	1	< 0.1%

CO2Rating
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct	29089
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	55.64251746

Minimum	-88.57
Maximum	18417.1
Zeros	1
Zeros (%)	< 0.1%
Negative	185
Negative (%)	< 0.1%
Memory size	7.7 MiB

Quantile statistics

Minimum	-88.57
5-th percentile	9.91
Q1	33.55
median	46.98
Q3	65.91
95-th percentile	124.63
Maximum	18417.1
Range	18505.67
Interquartile range (IQR)	32.36

Descriptive statistics

Standard deviation	48.95306043
Coefficient of variation (CV)	0.8797779588
Kurtosis	22151.18262
Mean	55.64251746
Median Absolute Deviation (MAD)	15.44
Skewness	69.10763716
Sum	55940093.64
Variance	2396.402125
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
41.39	236	< 0.1%
43.4	233	< 0.1%
44.12	232	< 0.1%
36.44	231	< 0.1%
41.44	228	< 0.1%
38.77	227	< 0.1%
40.98	226	< 0.1%
42.08	226	< 0.1%
37.44	226	< 0.1%
41.45	226	< 0.1%
Other values (29079)	1003057	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-88.57	1	< 0.1%
-27.98	1	< 0.1%
-23.82	1	< 0.1%
-20.25	1	< 0.1%
-17.51	1	< 0.1%
-16.02	1	< 0.1%
-14.49	1	< 0.1%
-11.99	1	< 0.1%
-11.22	1	< 0.1%
-11.02	1	< 0.1%

Value	Count	Frequency (%)
18417.1	1	< 0.1%
10541	1	< 0.1%
5840.25	1	< 0.1%
4019.2	1	< 0.1%
3467.31	1	< 0.1%
3327.24	1	< 0.1%
3283.77	1	< 0.1%
2822.29	1	< 0.1%
2817.23	1	< 0.1%
2760.17	1	< 0.1%

MainSpaceHeatingFuel
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	20
Distinct (%)	< 0.1%
Missing	14110
Missing (%)	1.4%
Memory size	64.5 MiB

Mains Gas	382337
Heating Oil	364334
Electricity	185279
Solid Multi-Fuel	30996
Bulk LPG (propane or butane)	13573
Other values (15)	14719

Length

Max length	30
Median length	11
Mean length	10.74701232
Min length	8

Characters and Unicode

Total characters	10652847
Distinct characters	42
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Heating Oil
2nd row	Heating Oil
3rd row	Mains Gas
4th row	Mains Gas
5th row	Mains Gas

Common Values

Value	Count	Frequency (%)
Mains Gas	382337	38.0%
Heating Oil	364334	36.2%
Electricity	185279	18.4%
Solid Multi-Fuel	30996	3.1%
Bulk LPG (propane or butane)	13573	1.4%
Manufactured Smokeless Fuel	6614	0.7%
House Coal	3120	0.3%
Wood Pellets (bulk supply for	1321	0.1%
Sod Peat	1221	0.1%
Bottled LPG	1099	0.1%
Other values (10)	1344	0.1%
(Missing)	14110	1.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
mains	382337	20.7%
gas	382337	20.7%
heating	364334	19.7%
oil	364334	19.7%
electricity	185369	10.0%
solid	30996	1.7%
multi-fuel	30996	1.7%
bulk	14894	0.8%
lpg	14672	0.8%
butane	13573	0.7%
Other values (34)	65605	3.5%

Most occurring characters

Value	Count	Frequency (%)
i	1544425	14.5%
a	1174393	11.0%
	858209	8.1%
t	792255	7.4%
s	785310	7.4%
n	780742	7.3%
l	679417	6.4%
e	643982	6.0%
M	419947	3.9%
G	397009	3.7%
Other values (32)	2577158	24.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7870541	73.9%
Uppercase Letter	1864230	17.5%
Space Separator	858209	8.1%
Dash Punctuation	31194	0.3%
Open Punctuation	15100	0.1%
Close Punctuation	13573	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	1544425	19.6%
a	1174393	14.9%
t	792255	10.1%
s	785310	10.0%
n	780742	9.9%
l	679417	8.6%
e	643982	8.2%
c	377622	4.8%
g	365252	4.6%
r	221036	2.8%
Other values (12)	506107	6.4%

Uppercase Letter

Value	Count	Frequency (%)
M	419947	22.5%
G	397009	21.3%
H	367454	19.7%
O	364388	19.5%
E	185369	9.9%
S	38867	2.1%
F	37610	2.0%
P	17689	0.9%
L	15330	0.8%
B	14946	0.8%
Other values (6)	5621	0.3%

Space Separator

Value	Count	Frequency (%)
	858209	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	31194	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	15100	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	13573	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9734771	91.4%
Common	918076	8.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	1544425	15.9%
a	1174393	12.1%
t	792255	8.1%
s	785310	8.1%
n	780742	8.0%
l	679417	7.0%
e	643982	6.6%
M	419947	4.3%
G	397009	4.1%
c	377622	3.9%
Other values (28)	2139669	22.0%

Common

Value	Count	Frequency (%)
	858209	93.5%
-	31194	3.4%
(	15100	1.6%
)	13573	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10652847	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	1544425	14.5%
a	1174393	11.0%
	858209	8.1%
t	792255	7.4%
s	785310	7.4%
n	780742	7.3%
l	679417	6.4%
e	643982	6.0%
M	419947	3.9%
G	397009	3.7%
Other values (32)	2577158	24.2%

MainWaterHeatingFuel
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	21
Distinct (%)	< 0.1%
Missing	14110
Missing (%)	1.4%
Memory size	64.5 MiB

Mains Gas	380320
Heating Oil	361268
Electricity	193666
Solid Multi-Fuel	28848
Bulk LPG (propane or butane)	13520
Other values (16)	13616

Length

Max length	30
Median length	11
Mean length	10.72271644
Min length	4

Characters and Unicode

Total characters	10628764
Distinct characters	42
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Heating Oil
2nd row	Heating Oil
3rd row	Mains Gas
4th row	Mains Gas
5th row	Mains Gas

Common Values

Value	Count	Frequency (%)
Mains Gas	380320	37.8%
Heating Oil	361268	35.9%
Electricity	193666	19.3%
Solid Multi-Fuel	28848	2.9%
Bulk LPG (propane or butane)	13520	1.3%
Manufactured Smokeless Fuel	5604	0.6%
House Coal	2959	0.3%
Wood Pellets (bulk supply for	1271	0.1%
Sod Peat	1244	0.1%
Bottled LPG	1204	0.1%
Other values (11)	1334	0.1%
(Missing)	14110	1.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
mains	380320	20.7%
gas	380320	20.7%
heating	361268	19.6%
oil	361268	19.6%
electricity	193757	10.5%
solid	28848	1.6%
multi-fuel	28848	1.6%
bulk	14791	0.8%
lpg	14724	0.8%
butane	13520	0.7%
Other values (35)	62126	3.4%

Most occurring characters

Value	Count	Frequency (%)
i	1548811	14.6%
a	1165086	11.0%
	848552	8.0%
t	803001	7.6%
s	779006	7.3%
n	774603	7.3%
l	676008	6.4%
e	642964	6.0%
M	414772	3.9%
G	395044	3.7%
Other values (32)	2580917	24.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7869913	74.0%
Uppercase Letter	1852748	17.4%
Space Separator	848552	8.0%
Dash Punctuation	29021	0.3%
Open Punctuation	15010	0.1%
Close Punctuation	13520	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	1548811	19.7%
a	1165086	14.8%
t	803001	10.2%
s	779006	9.9%
n	774603	9.8%
l	676008	8.6%
e	642964	8.2%
c	393424	5.0%
g	362123	4.6%
r	228326	2.9%
Other values (12)	496561	6.3%

Uppercase Letter

Value	Count	Frequency (%)
M	414772	22.4%
G	395044	21.3%
H	364227	19.7%
O	361309	19.5%
E	193757	10.5%
S	35746	1.9%
F	34452	1.9%
P	17724	1.0%
L	15319	0.8%
B	15003	0.8%
Other values (6)	5395	0.3%

Space Separator

Value	Count	Frequency (%)
	848552	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	29021	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	15010	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	13520	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9722661	91.5%
Common	906103	8.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	1548811	15.9%
a	1165086	12.0%
t	803001	8.3%
s	779006	8.0%
n	774603	8.0%
l	676008	7.0%
e	642964	6.6%
M	414772	4.3%
G	395044	4.1%
c	393424	4.0%
Other values (28)	2129942	21.9%

Common

Value	Count	Frequency (%)
	848552	93.6%
-	29021	3.2%
(	15010	1.7%
)	13520	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10628764	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	1548811	14.6%
a	1165086	11.0%
	848552	8.0%
t	803001	7.6%
s	779006	7.3%
n	774603	7.3%
l	676008	6.4%
e	642964	6.0%
M	414772	3.9%
G	395044	3.7%
Other values (32)	2580917	24.3%

VentilationMethod
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	2901
Missing (%)	0.3%
Memory size	67.8 MiB

Natural vent.	942726
Bal.whole mech.vent heat recvr	31490
Whole house extract vent.	26036
Pos input vent.- loft	1378
Bal.whole mech.vent no heat re	429

Length

Max length	30
Median length	13
Mean length	13.86822246
Min length	13

Characters and Unicode

Total characters	13902158
Distinct characters	26
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Natural vent.
2nd row	Natural vent.
3rd row	Natural vent.
4th row	Natural vent.
5th row	Natural vent.

Common Values

Value	Count	Frequency (%)
Natural vent.	942726	93.8%
Bal.whole mech.vent heat recvr	31490	3.1%
Whole house extract vent.	26036	2.6%
Pos input vent.- loft	1378	0.1%
Bal.whole mech.vent no heat re	429	< 0.1%
Pos input vent.- outside	388	< 0.1%
(Missing)	2901	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
vent	970528	45.7%
natural	942726	44.4%
bal.whole	31919	1.5%
mech.vent	31919	1.5%
heat	31919	1.5%
recvr	31490	1.5%
whole	26036	1.2%
house	26036	1.2%
extract	26036	1.2%
pos	1766	0.1%
Other values (5)	4390	0.2%

Most occurring characters

Value	Count	Frequency (%)
t	2032696	14.6%
a	1975326	14.2%
e	1208619	8.7%
	1122318	8.1%
.	1034366	7.4%
l	1033978	7.4%
v	1033937	7.4%
r	1032171	7.4%
n	1004642	7.2%
u	970916	7.0%
Other values (16)	1453189	10.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10741261	77.3%
Space Separator	1122318	8.1%
Other Punctuation	1034366	7.4%
Uppercase Letter	1002447	7.2%
Dash Punctuation	1766	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	2032696	18.9%
a	1975326	18.4%
e	1208619	11.3%
l	1033978	9.6%
v	1033937	9.6%
r	1032171	9.6%
n	1004642	9.4%
u	970916	9.0%
h	147829	1.4%
c	89445	0.8%
Other values (9)	211702	2.0%

Uppercase Letter

Value	Count	Frequency (%)
N	942726	94.0%
B	31919	3.2%
W	26036	2.6%
P	1766	0.2%

Space Separator

Value	Count	Frequency (%)
	1122318	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	1034366	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1766	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11743708	84.5%
Common	2158450	15.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	2032696	17.3%
a	1975326	16.8%
e	1208619	10.3%
l	1033978	8.8%
v	1033937	8.8%
r	1032171	8.8%
n	1004642	8.6%
u	970916	8.3%
N	942726	8.0%
h	147829	1.3%
Other values (13)	360868	3.1%

Common

Value	Count	Frequency (%)
	1122318	52.0%
.	1034366	47.9%
-	1766	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13902158	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	2032696	14.6%
a	1975326	14.2%
e	1208619	8.7%
	1122318	8.1%
.	1034366	7.4%
l	1033978	7.4%
v	1033937	7.4%
r	1032171	7.4%
n	1004642	7.2%
u	970916	7.0%
Other values (16)	1453189	10.5%

StructureType
Categorical

MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	72276
Missing (%)	7.2%
Memory size	60.0 MiB

Masonry	867161
Timber or Steel Frame	59584
Insulated Conctete Form	6327

Length

Max length	23
Median length	7
Mean length	8.002503558
Min length	7

Characters and Unicode

Total characters	7466912
Distinct characters	22
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Masonry
2nd row	Masonry
3rd row	Masonry
4th row	Masonry
5th row	Masonry

Common Values

Value	Count	Frequency (%)
Masonry	867161	86.3%
Timber or Steel Frame	59584	5.9%
Insulated Conctete Form	6327	0.6%
(Missing)	72276	7.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
masonry	867161	77.1%
timber	59584	5.3%
or	59584	5.3%
steel	59584	5.3%
frame	59584	5.3%
insulated	6327	0.6%
conctete	6327	0.6%
form	6327	0.6%

Most occurring characters

Value	Count	Frequency (%)
r	1052240	14.1%
o	939399	12.6%
a	933072	12.5%
n	879815	11.8%
s	873488	11.7%
M	867161	11.6%
y	867161	11.6%
e	257317	3.4%
	191406	2.6%
m	125495	1.7%
Other values (12)	480358	6.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6210612	83.2%
Uppercase Letter	1064894	14.3%
Space Separator	191406	2.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	1052240	16.9%
o	939399	15.1%
a	933072	15.0%
n	879815	14.2%
s	873488	14.1%
y	867161	14.0%
e	257317	4.1%
m	125495	2.0%
t	78565	1.3%
l	65911	1.1%
Other values (5)	138149	2.2%

Uppercase Letter

Value	Count	Frequency (%)
M	867161	81.4%
F	65911	6.2%
T	59584	5.6%
S	59584	5.6%
I	6327	0.6%
C	6327	0.6%

Space Separator

Value	Count	Frequency (%)
	191406	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7275506	97.4%
Common	191406	2.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	1052240	14.5%
o	939399	12.9%
a	933072	12.8%
n	879815	12.1%
s	873488	12.0%
M	867161	11.9%
y	867161	11.9%
e	257317	3.5%
m	125495	1.7%
t	78565	1.1%
Other values (11)	401793	5.5%

Common

Value	Count	Frequency (%)
	191406	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7466912	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	1052240	14.1%
o	939399	12.6%
a	933072	12.5%
n	879815	11.8%
s	873488	11.7%
M	867161	11.6%
y	867161	11.6%
e	257317	3.4%
	191406	2.6%
m	125495	1.7%
Other values (12)	480358	6.4%

NoOfSidesSheltered
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	2901
Missing (%)	0.3%
Memory size	57.5 MiB

2.0	407774
3.0	271434
4.0	140400
1.0	118539
0.0	64300

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	3007341
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	2.0
3rd row	3.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	407774	40.6%
3.0	271434	27.0%
4.0	140400	14.0%
1.0	118539	11.8%
0.0	64300	6.4%
(Missing)	2901	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2.0	407774	40.7%
3.0	271434	27.1%
4.0	140400	14.0%
1.0	118539	11.8%
0.0	64300	6.4%

Most occurring characters

Value	Count	Frequency (%)
0	1066747	35.5%
.	1002447	33.3%
2	407774	13.6%
3	271434	9.0%
4	140400	4.7%
1	118539	3.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2004894	66.7%
Other Punctuation	1002447	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1066747	53.2%
2	407774	20.3%
3	271434	13.5%
4	140400	7.0%
1	118539	5.9%

Other Punctuation

Value	Count	Frequency (%)
.	1002447	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3007341	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1066747	35.5%
.	1002447	33.3%
2	407774	13.6%
3	271434	9.0%
4	140400	4.7%
1	118539	3.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3007341	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1066747	35.5%
.	1002447	33.3%
2	407774	13.6%
3	271434	9.0%
4	140400	4.7%
1	118539	3.9%

InsulationType
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	221093
Missing (%)	22.0%
Memory size	60.0 MiB

Factory Insulated	494467
Loose Jacket	197854
None	91934

Length

Max length	17
Median length	17
Mean length	14.21466615
Min length	4

Characters and Unicode

Total characters	11147923
Distinct characters	19
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Factory Insulated
2nd row	Factory Insulated
3rd row	Loose Jacket
4th row	Loose Jacket
5th row	Factory Insulated

Common Values

Value	Count	Frequency (%)
Factory Insulated	494467	49.2%
Loose Jacket	197854	19.7%
None	91934	9.1%
(Missing)	221093	22.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
factory	494467	33.5%
insulated	494467	33.5%
loose	197854	13.4%
jacket	197854	13.4%
none	91934	6.2%

Most occurring characters

Value	Count	Frequency (%)
t	1186788	10.6%
a	1186788	10.6%
o	982109	8.8%
e	982109	8.8%
c	692321	6.2%
	692321	6.2%
s	692321	6.2%
n	586401	5.3%
u	494467	4.4%
d	494467	4.4%
Other values (9)	3157831	28.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8979026	80.5%
Uppercase Letter	1476576	13.2%
Space Separator	692321	6.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	1186788	13.2%
a	1186788	13.2%
o	982109	10.9%
e	982109	10.9%
c	692321	7.7%
s	692321	7.7%
n	586401	6.5%
u	494467	5.5%
d	494467	5.5%
l	494467	5.5%
Other values (3)	1186788	13.2%

Uppercase Letter

Value	Count	Frequency (%)
F	494467	33.5%
I	494467	33.5%
L	197854	13.4%
J	197854	13.4%
N	91934	6.2%

Space Separator

Value	Count	Frequency (%)
	692321	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10455602	93.8%
Common	692321	6.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	1186788	11.4%
a	1186788	11.4%
o	982109	9.4%
e	982109	9.4%
c	692321	6.6%
s	692321	6.6%
n	586401	5.6%
u	494467	4.7%
d	494467	4.7%
l	494467	4.7%
Other values (8)	2663364	25.5%

Common

Value	Count	Frequency (%)
	692321	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11147923	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	1186788	10.6%
a	1186788	10.6%
o	982109	8.8%
e	982109	8.8%
c	692321	6.2%
	692321	6.2%
s	692321	6.2%
n	586401	5.3%
u	494467	4.4%
d	494467	4.4%
Other values (9)	3157831	28.3%

InsulationThickness
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	183
Distinct (%)	< 0.1%
Missing	221093
Missing (%)	22.0%
Infinite	0
Infinite (%)	0.0%
Mean	31.59133146

Minimum	0
Maximum	1872
Zeros	122900
Zeros (%)	12.2%
Negative	0
Negative (%)	0.0%
Memory size	7.7 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	25
median	30
Q3	40
95-th percentile	80
Maximum	1872
Range	1872
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	22.94257629
Coefficient of variation (CV)	0.7262301155
Kurtosis	1133.880446
Mean	31.59133146
Median Absolute Deviation (MAD)	10
Skewness	15.44642207
Sum	24775659.65
Variance	526.361807
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
30	147632	14.7%
0	122900	12.2%
25	117613	11.7%
50	105097	10.5%
35	92410	9.2%
40	62376	6.2%
20	46638	4.6%
80	34369	3.4%
60	14115	1.4%
15	7712	0.8%
Other values (173)	33393	3.3%
(Missing)	221093	22.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	122900	12.2%
1	190	< 0.1%
1.752	1	< 0.1%
1.79	1	< 0.1%
1.89	2	< 0.1%
1.91	5	< 0.1%
1.92	1	< 0.1%
2	62	< 0.1%
2.33	1	< 0.1%
2.35	2	< 0.1%

Value	Count	Frequency (%)
1872	21	< 0.1%
890	1	< 0.1%
870	1	< 0.1%
801	1	< 0.1%
800	1	< 0.1%
670	2	< 0.1%
660	1	< 0.1%
600	4	< 0.1%
580	3	< 0.1%
560	1	< 0.1%

TotalDeliveredEnergy
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED

Distinct	431407
Distinct (%)	99.2%
Missing	570448
Missing (%)	56.7%
Infinite	0
Infinite (%)	0.0%
Mean	24403.69201

Minimum	-3929.793
Maximum	5431169.676
Zeros	0
Zeros (%)	0.0%
Negative	3
Negative (%)	< 0.1%
Memory size	7.7 MiB

Quantile statistics

Minimum	-3929.793
5-th percentile	8305.22705
Q1	15190.84325
median	21318.4585
Q3	29593.121
95-th percentile	49214.57105
Maximum	5431169.676
Range	5435099.469
Interquartile range (IQR)	14402.27775

Descriptive statistics

Standard deviation	23488.45498
Coefficient of variation (CV)	0.9624959602
Kurtosis	14527.40373
Mean	24403.69201
Median Absolute Deviation (MAD)	6932.2075
Skewness	87.3140669
Sum	1.061316566 × 10¹⁰
Variance	551707517.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
184.697	22	< 0.1%
641.717	16	< 0.1%
184.877	14	< 0.1%
541.268	12	< 0.1%
919.127	12	< 0.1%
477.232	12	< 0.1%
292.044	11	< 0.1%
99.907	11	< 0.1%
992.339	10	< 0.1%
368.215	9	< 0.1%
Other values (431397)	434771	43.2%
(Missing)	570448	56.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-3929.793	1	< 0.1%
-2843.478	1	< 0.1%
-1805.047	1	< 0.1%
50.563	1	< 0.1%
56.181	1	< 0.1%
69.853	1	< 0.1%
72.877	1	< 0.1%
73.373	1	< 0.1%
74.998	1	< 0.1%
77.344	1	< 0.1%

Value	Count	Frequency (%)
5431169.676	1	< 0.1%
4129347.104	1	< 0.1%
3846582.646	1	< 0.1%
3444097.206	1	< 0.1%
3343274.743	1	< 0.1%
3133044.042	1	< 0.1%
2868451.102	1	< 0.1%
2844373.55	1	< 0.1%
2370104.193	1	< 0.1%
2050664.845	1	< 0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	CountyName	DwellingTypeDescr	YearofConstruction	EnergyRating	BerRating	GroundFloorArea(sq m)	CO2Rating	MainSpaceHeatingFuel	MainWaterHeatingFuel	VentilationMethod	StructureType	NoOfSidesSheltered	InsulationType	InsulationThickness	TotalDeliveredEnergy
0	Donegal	Detached house	1997	C2	180.01	171.19	45.53	Heating Oil	Heating Oil	Natural vent.	Masonry	1.00	Factory Insulated	20.00	25474.52
1	Kildare	Detached house	2010	B3	137.56	242.93	35.66	Heating Oil	Heating Oil	Natural vent.	Masonry	2.00	Factory Insulated	50.00	27654.47
2	Dublin	Semi-detached house	1999	C3	223.61	99.38	44.65	Mains Gas	Mains Gas	Natural vent.	Masonry	3.00	Loose Jacket	20.00	17000.04
3	Dublin	Semi-detached house	1965	C2	196.99	138.41	37.83	Mains Gas	Mains Gas	Natural vent.	Masonry	2.00	NaN	NaN	22708.48
4	Dublin	Semi-detached house	1985	D2	260.52	127.16	55.07	Mains Gas	Mains Gas	Natural vent.	Masonry	2.00	Loose Jacket	100.00	28182.86
5	Donegal	House	1975	D1	248.00	88.57	62.68	Heating Oil	Heating Oil	Natural vent.	Masonry	2.00	Factory Insulated	0.00	18470.03
6	Dublin	Semi-detached house	1985	D2	275.97	73.54	58.21	Mains Gas	Mains Gas	Natural vent.	Masonry	2.00	Loose Jacket	100.00	17227.86
7	Limerick	Semi-detached house	1960	D1	244.71	89.54	59.79	Heating Oil	Heating Oil	Natural vent.	Masonry	3.00	Loose Jacket	80.00	16711.95
8	Kerry	House	1973	D2	293.82	157.62	71.30	Heating Oil	Heating Oil	Natural vent.	Masonry	1.00	Loose Jacket	50.00	40212.93
9	Kilkenny	Detached house	1980	D2	299.96	91.44	75.47	Heating Oil	Heating Oil	Natural vent.	Masonry	1.00	Loose Jacket	20.00	21839.38

Last rows

	CountyName	DwellingTypeDescr	YearofConstruction	EnergyRating	BerRating	GroundFloorArea(sq m)	CO2Rating	MainSpaceHeatingFuel	MainWaterHeatingFuel	VentilationMethod	StructureType	NoOfSidesSheltered	InsulationType	InsulationThickness	TotalDeliveredEnergy
1005338	Dublin	Top-floor apartment	2022	A2	46.90	77.00	8.82	NaN	NaN	Bal.whole mech.vent heat recvr	Masonry	2.00	NaN	NaN	NaN
1005339	Dublin	Ground-floor apartment	2004	D2	281.34	73.50	55.32	Electricity	Electricity	Natural vent.	Masonry	3.00	NaN	NaN	NaN
1005340	Dublin	Mid-floor apartment	2020	A3	55.23	37.80	10.86	Electricity	Electricity	NaN	NaN	NaN	NaN	NaN	NaN
1005341	Dublin	Mid-floor apartment	2020	A2	46.32	50.89	9.11	Electricity	Electricity	NaN	NaN	NaN	NaN	NaN	NaN
1005342	Dublin	Mid-floor apartment	2020	A2	38.60	86.58	7.59	Electricity	Electricity	NaN	NaN	NaN	NaN	NaN	NaN
1005343	Donegal	Detached house	1982	D2	282.58	214.18	70.89	Heating Oil	Heating Oil	Natural vent.	Masonry	1.00	NaN	NaN	52927.53
1005344	Dublin	Mid-terrace house	1900	G	998.14	99.77	317.99	Manufactured Smokeless Fuel	Electricity	Natural vent.	Masonry	4.00	NaN	NaN	NaN
1005345	Dublin	Mid-floor apartment	2021	A2	37.26	81.32	7.33	NaN	NaN	Whole house extract vent.	Masonry	2.00	NaN	NaN	NaN
1005346	Dublin	Mid-floor apartment	2022	A2	36.05	82.09	6.76	NaN	NaN	Bal.whole mech.vent heat recvr	Masonry	4.00	NaN	NaN	NaN
1005347	Monaghan	Detached house	2013	B1	90.57	334.35	19.66	Electricity	Electricity	Bal.whole mech.vent heat recvr	Timber or Steel Frame	1.00	NaN	NaN	NaN

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Decimal Number

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block